Top Data & Analytics Jobs in Pittsburgh, PA

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Director of Business Intelligence will lead BI transformation and modernization initiatives, managing a team while ensuring data governance and cloud migration, and developing insight-driven dashboards for financial crimes' analytics.

The Business Analytics Analyst will leverage analytics and reporting skills using SAS and PowerBI to influence organizational decisions, support strategic analysis, and enhance efficiencies across the company.

Lead Oracle EPM Planning projects, manage client engagements, develop forecasting solutions, integrate systems, and mentor project teams across various business sectors.

As an EPM Planning Specialist, you will deliver Oracle EPM Planning implementations, configure modules, assist in building models, and support integrations while collaborating with finance and IT teams.

The Senior Application Systems Analyst provides technical support, manages applications, gathers and documents business requirements, and supports core banking solutions.

The Data Analyst will design and maintain Power BI solutions, transforming complex healthcare data into actionable insights, while supporting data structure development and communicating analysis findings to stakeholders.

The Analyst role focuses on applying quantitative methods to financial topics within international arbitration. Candidates will engage in asset valuation, regulatory analyses, and economic damages, requiring strong analytical skills and teamwork. Knowledge of Spanish is a plus.

The role provides functional support for Master Data Governance in Europe, collaborating with stakeholders, conducting training, and managing process improvements.

The MDM Architect will lead technical architecture and design for Product Master Data Management, ensuring integration and delivery of data solutions across multiple platforms and teams.

As a Labeling Analyst, you'll perform QA work, mentor new team members, flag data discrepancies, and provide feedback on tooling deficiencies while contributing to automated driving tech development.